Är Code Health Mcp säker?
Code Health Mcp — Nerq Trust Score 64.5/100 (Betyg C). Poäng baserad på 5 independent trust signals.
Code Health Mcp är en programvara med ett Nerq-förtroendepoäng på 64.5/100 (C), baserat på 5 oberoende datadimensioner. Säkerhet: 0/100. Underhåll: 1/100. Popularitet: 0/100. Data hämtad från flera offentliga källor inklusive paketregister, GitHub, NVD, OSV.dev och OpenSSF Scorecard. Senast uppdaterad: n/a. Maskinläsbar data (JSON).
Är Code Health Mcp säker?
Förtroendepoäng i detalj — Code Health Mcp has a Nerq Trust Score of 64.5/100 (C). Measured across 5 independent trust signals.
Vad är Code Health Mcps förtroendepoäng?
Code Health Mcp har ett Nerq-förtroendepoäng på 64.5/100 med betyget C. Denna poäng baseras på 5 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Code Health Mcp?
Code Health Mcps starkaste signal är regelefterlevnad på 79/100. Inga kända sårbarheter har upptäckts.
Vad är Code Health Mcp och vem underhåller det?
| Utvecklare | nagavitalp |
| Kategori | Coding |
| Källa | https://github.com/nagavitalp/code-health-mcp |
| Frameworks | anthropic · mcp |
| Protocols | mcp · rest |
Regelefterlevnad
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 79/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
Populära alternativ inom coding
What Is Code Health Mcp?
Code Health Mcp is a programvara in the coding category: MCP server for comprehensive code quality analysis with refactoring risk prediction.. Nerq Trust Score: 64/100 (C).
Nerq independently analyzes every programvara, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
How Nerq Assesses Code Health Mcp's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Code Health Mcp performs in each:
- Säkerhet (0/100): Code Health Mcp's säkerhet posture is poor. This score factors in known CVEs, dependency vulnerabilities, säkerhet policy presence, and code signing practices.
- Underhåll (1/100): Code Health Mcp is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API dokumentation, usage examples, and contribution guidelines.
- Compliance (79/100): Code Health Mcp is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Baserad på GitHub-stjärnor, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.5/100 (C) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Code Health Mcp?
Code Health Mcp is commonly evaluated by:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Code Health Mcp's measured signals (säkerhet 0/100, underhåll 1/100, dokumentation 1/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Code Health Mcp's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any programvara:
- Check the source code — Granska repository's säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Code Health Mcp's dependency tree. - Recension permissions — Understand what access Code Health Mcp requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Code Health Mcp in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=code-health-mcp - Granska license — Confirm that Code Health Mcp's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Code Health Mcp
When evaluating whether Code Health Mcp is safe, consider these category-specific risks:
Understand how Code Health Mcp processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Code Health Mcp's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.
Regularly check for updates to Code Health Mcp. Säkerhet patches and bug fixes are only effective if you're running the latest version.
If Code Health Mcp connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Code Health Mcp's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Code Health Mcp in violation of its license can expose your organization to legal liability.
Code Health Mcp and the EU AI Act
Code Health Mcp is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.
Nerq's regelefterlevnad assessment covers 52 jurisdiktions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal regelefterlevnad.
Best Practices for Using Code Health Mcp Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Code Health Mcp while minimizing risk:
Periodically review how Code Health Mcp is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.
Ensure Code Health Mcp and all its dependencies are running the latest stable versions to benefit from säkerhet patches.
Grant Code Health Mcp only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Code Health Mcp's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Code Health Mcp is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Oberoende Review of Code Health Mcp
Nerq's signals are one input. In the following situations, evaluate Code Health Mcp's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Code Health Mcp's measured trust score of 64.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Code Health Mcp is suitable for any particular use.
How Code Health Mcp Compares to Industry Standards
Nerq indexes over 6 million programvaras, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Code Health Mcp's score of 64.5/100 is above the category average of 62/100.
This positions Code Health Mcp favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimensioner.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Trust Score History
Nerq continuously monitors Code Health Mcp and recalculates its Trust Score as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or underhåll patterns change, Code Health Mcp's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Code Health Mcp's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=code-health-mcp&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Code Health Mcp are strengthening or weakening over time.
Code Health Mcp vs Alternativ
In the coding category, Code Health Mcp scores 64.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Code Health Mcp vs AutoGPT — Trust Score: 65.3/100
- Code Health Mcp vs ollama — Trust Score: 64.4/100
- Code Health Mcp vs langchain — Trust Score: 77.0/100
Viktigaste slutsatser
- Code Health Mcp has a measured Nerq Trust Score of 64.5/100 (C) — a composite of independent signals, not a suitability judgment.
- Among coding tools, Code Health Mcp scores above the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — säkerhet, underhåll, dokumentation, regelefterlevnad, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
Vanliga frågor
Är Code Health Mcp säker?
Vad är Code Health Mcps förtroendepoäng?
Vilka är säkrare alternativ till Code Health Mcp?
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Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.